Soils deliver the regulating ecosystem services of water infiltration and distribution, which can be controlled by macropores. Parameterizing macropore hydraulic properties is challenging due to the lack of direct measurement methods. With tension-disc infiltrometry hydraulic properties near saturation can be measured. Differentiating between hydrologically active and non-active pores, at a given water potential, indirectly assesses macropore continuity. Water flow through macropores is controlled by macropore size distribution, tortuosity, and connectivity, which can be directly derived by X-ray computed tomography (CT). Our objective was to parameterize macropore hydraulic properties based on the imaged macropore network of three horizons of an Andosol and a Gleysol. Hydraulic conductivity K unsat was derived from infiltration measurements. Soil cores from the infiltration areas were scanned with X-ray CT. K unsat was significantly higher in the Andosol than in the Gleysol at all water potentials, and decreased significantly with depth in both soils. The in situ measurements guided the definition of new macroporosity parameters from the X-ray CT reconstructions. For the Andosol, K unsat was best predicted using the imaged-limited macroporosity. A low total macroporosity, coupled with a high macropore density, indicated the abundance of smaller macropores, leading to homogeneous matrix flux. Imaged macropores were not well connected. In contrast, the Gleysol had a bi-modal macropore system with few very large, but well-connected macropores. K unsat was best predicted using the imaged macroporosity consisting only of macropores with diameters between 0.75 and 3 mm. Our research demonstrates that linking traditional soil physical measurements with soil-visualization techniques has a huge potential to improve parameterizing macropore hydraulic properties. The relevance of the relationships found in this study for larger scales and other soil types still needs to be tested, for example by a multi-scale investigation including a much wider range of different soils.
", "keywords": ["[SDE] Environmental Sciences", "Hydraulic parameters", "0207 environmental engineering", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water", "Image analysis", "Tension disc in\ufb01ltrometr", "Tension disc infiltrometry", "Pore network", "13. Climate action", "Soil structure", "[SDE.ES] Environmental Sciences/Environment and Society", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.10.020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2017.10.020", "name": "item", "description": "10.1016/j.geoderma.2017.10.020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.10.020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2018.02.019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2018-02-18", "title": "Runoff and nutrient loss from a water-repellent soil", "description": "Abstract The effects of soil water repellency (SWR) on runoff and nutrient losses are difficult to isolate. Hydrophobic organic substances coating soil particles can severely delay water infiltration and enhance runoff. We used a portable run-on simulator to investigate the effect of SWR on runoff and nutrient loss. Intact soil slabs, 0.48\u202fm long and 0.19\u202fm wide, were collected from a severely water-repellent Andosol under pasture. One day before simulating 60-min long run-on events with an intensity of 60\u202fmm\u202fh\u22121, superphosphate was applied at a rate of 45\u202fkg\u202fP\u202fha\u22121. The effects of SWR were quantified by comparing runoff volumes and nutrient losses from run-on events conducted with water and a fully wetting aqueous ethanol solution as run-on liquids. Further, through conducting multiple consecutive water run-on events with the same soil slab, the hypothesis, that SWR is lost through the washing off of hydrophobic materials, was tested. Finally, runoff dynamics were visualised by adding a dye to the run-on water. In the first run-on experiment, 88% of the water applied was captured as runoff, while no runoff was observed when aqueous ethanol was used as run-on liquid, providing strong evidence that SWR governed runoff generation from this Andosol. In consecutive water run-on experiments, approximately 23% of the applied P was recovered in the runoff from the first event, while the cumulative P loss over ten consecutive run-on events was around 30% of the applied P. This confirms that nutrient losses were associated with SWR and the occurrence of runoff. After ten consecutive run-on events, the persistence of both actual and potential SWR in areas of the slab that had been wetted were significantly (p", "keywords": ["13. Climate action", "[SDE.ES] Environmental Sciences/Environment and Society", "0207 environmental engineering", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2018.02.019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2018.02.019", "name": "item", "description": "10.1016/j.geoderma.2018.02.019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2018.02.019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-07-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2018.12.007", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2018-12-19", "title": "Organic carbon content controls the severity of water repellency and the critical moisture level across New Zealand pasture soils", "description": "Organic matter can render soil hydrophobic and cause soil water repellency (SWR) which has large implications for agriculture. Consequences such as fingered flow, uneven wetting patterns, and increased overland flow reduce irrigation efficiency and plant nutrient availability. The phenomenon of SWR is a transient soil property depending, inter alia, on soil water content (w). Soil can exhibit SWR from oven-dry w until the critical w where it again becomes fully wettable (wNON). The total SWR can be obtained from the nonlinear SWR-w relationship as the integrated trapezoidal area under the SWR-w curve (SWRAREA). We analyzed 78 soil samples, representing five dominant soil orders in the South Island of New Zealand. The soils had a large range in clay (0.000\u20130.520 kg kg\u22121) and organic carbon (OC) content (0.021\u20130.217 kg kg\u22121). The degree of SWR was measured on soils at air-dry conditions (SWRAD) and after heat-pretreatment at 60 (SWR60) and 105\u00b0C (SWR105). Further, SWR was measured in small w increments above air-dry w until wNON was reached. The SWR-w curves were either unimodal or bimodal, or no SWR occurred. SWRAREA ranged from 0.16 to 26.82 mN m\u22121 kg kg\u22121. Among the five soil orders tested, the Podzols exhibited the highest severity in SWR, whereas the Semiarid soils were the least hydrophobic soils. In conclusion, OC was the main factor for controlling the severity of SWR. Though, pH also had minor effects on SWR. Further, an upper limit critical water content was derived from the simple relationship between the wNON and OC, which could be applied to improve irrigation practices of pastoral soils. However, there is a need for further testing on different soils and land uses.
", "keywords": ["2. Zero hunger", "07 Agricultural and Veterinary Sciences", "05 Environmental Sciences", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "06 Biological Sciences", "910", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2018.12.007"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2018.12.007", "name": "item", "description": "10.1016/j.geoderma.2018.12.007", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2018.12.007"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2018.10.033", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2018-11-05", "title": "Two-decade long fertilization induced changes in subsurface soil organic carbon stock vary with indigenous site characteristics", "description": "Abstract Soil organic carbon (SOC) sequestration at subsurface layers (i.e. >20\u202fcm) remains unclear under long-term fertilization practices. Based on long-term datasets of fertilization experiments in four typical Chinese croplands, representing soils with high fertility at Gongzhuling (GZL, black soil) and Chongqing (CQ, purple soil), and low fertility at Zhengzhou (ZZ, aquatic Chao soil) and Qiyang (QY, red soil), we calculated SOC storage, its change relative to initial condition (\u0394SOC) in 0\u201320, 20\u201340 and 40\u201360\u202fcm. We also obtained annual organic C inputs (OCI; stubble, roots and manure amendment) and derived soil C sequestration efficiency (CSE: the ratio of \u0394SOC over OCI) in 0\u201320\u202fcm and 0\u201360\u202fcm. The fertilization treatments include cropping with no fertilization (CK), chemical nitrogen, phosphorus and potassium fertilizers (NPK) and combined chemical fertilizers and manure (NPKM). Results showed SOC stock significantly increased with fertilizations (i.e. initial, CK", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2018.10.033"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2018.10.033", "name": "item", "description": "10.1016/j.geoderma.2018.10.033", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2018.10.033"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114145", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2019-12-30", "title": "Pedoclimatic zone-based three-dimensional soil organic carbon mapping in China", "description": "Up-to-date maps of soil organic carbon (SOC) concentrations can provide vital information for monitoring global or regional soil C changes and soil quality. In this study, a national soil dataset collected in the 2010 s was applied to produce SOC maps of mainland China at soil depths of 0\u20135 cm, 5\u201315 cm, 15\u201330 cm, 30\u201360 cm, 60\u2013100 cm and 100\u2013200 cm. A stacking ensemble learning framework was utilized to take advantage of the optimal predictions from individual models. A voting-based ensemble learning model (VELM) was proposed with consideration of pedoclimatic zones. In this model, three machine learning models were separately trained for every pedoclimatic zone, and their predictions were selectively merged together. A weighted ensemble learning model (WELM), in which the parameterization considered all zones (i.e., the whole study area) simultaneously, was also trained for comparison. The overall R2 values of these two methods ranged from 0.16 to 0.57 and decreased with depth. Based on the independent validation, the R2 values ranged from 0.41 to 0.57 in the topsoil (0\u20135 cm, 5\u201315 cm and 15\u201330 cm). Overall accuracy metrics implied that the VELM and WELM yielded nearly the same prediction performances. However, model validation in the pedoclimatic zones showed that the VELM obviously outperformed the WELM, with the VELM generally improving the accuracy by 12.6%. Based on the independent validation, we also compared our predictions with other soil map products. Although the spatial patterns were similar, the predicted SOC maps outperformed two other products. The comparison of the two ensemble models should serve as a reminder that if new national or regional soil maps are generated, validation based on pedoclimatic zones or other soil-landscape units may be necessary before applying these maps.", "keywords": ["Digital soil mapping", "13. Climate action", "Ensemble learning", "Machine learning", "Uncertainty", "0401 agriculture", " forestry", " and fisheries", "Model comparison", "04 agricultural and veterinary sciences", "15. Life on land"], "contacts": [{"organization": "Song, Xiao-Dong, Wu, Hua-Yong, Ju, Bing, Liu, Feng, Yang, Fei, Li, De-Cheng, Zhao, Yu-Guo, Yang, Jin-Ling, Zhang, Gan-Lin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.114145"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.114145", "name": "item", "description": "10.1016/j.geoderma.2019.114145", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114145"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2020.114237", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2020-02-06", "title": "Model averaging for mapping topsoil organic carbon in France", "description": "Abstract The soil organic carbon (SOC) pool is the largest terrestrial carbon (C) pool and is two to three times larger than the C stored in vegetation and the atmosphere. SOC is a crucial component within the C cycle, and an accurate baseline of SOC is required, especially for biogeochemical and earth system modelling. This baseline will allow better monitoring of SOC dynamics due to land use change and climate change. However, current estimates of SOC stock and its spatial distribution have large uncertainties. In this study, we test whether we can improve the accuracy of the three existing SOC maps of France obtained at national (IGCS), continental (LUCAS), and global (SoilGrids) scales using statistical model averaging approaches. Soil data from the French Soil Monitoring Network (RMQS) were used to calibrate and evaluate five model averaging approaches, i.e., Granger-Ramanathan, Bias-corrected Variance Weighted (BC-VW), Bayesian Modelling Averaging, Cubist and Residual-based Cubist. Cross-validation showed that with a calibration size larger than 100 observations, the five model averaging approaches performed better than individual SOC maps. The BC-VW approach performed best and is recommended for model averaging. Our results show that 200 calibration observations were an acceptable calibration strategy for model averaging in France, showing that a fairly small number of spatially stratified observations (sampling density of 1 sample per 2500\u00a0km2) provides sufficient calibration data. We also tested the use of model averaging in data-poor situations by reproducing national SOC maps using various sized subsets of the IGCS dataset for model calibration. The results show that model averaging always performs better than the national SOC map. However, the Modelling Efficiency dropped substantially when the national SOC map was excluded in model averaging. This indicates the necessity of including a national SOC map for model averaging, even if produced with a small dataset (i.e., 200 samples). This study provides a reference for data-poor countries to improve national SOC maps using existing continental and global SOC maps.", "keywords": ["Soil organic carbon", "[SDV]Life Sciences [q-bio]", "cartographie num\u00e9rique des sols", "04 agricultural and veterinary sciences", "Data-poor countries", "cartographie num\u00e9rique du sol", "15. Life on land", "01 natural sciences", "soil sciences", "sciences du sol", "[SDV] Life Sciences [q-bio]", "Digital soil mapping", "Sample size requirement", "13. Climate action", "Bias-corrected Variance Weighted", "carbone organique du sol", "0401 agriculture", " forestry", " and fisheries", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://hal.science/hal-02473703/file/revised%20accepted%20version%20Chen%20et%20al.pdf"}, {"href": "https://doi.org/10.1016/j.geoderma.2020.114237"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2020.114237", "name": "item", "description": "10.1016/j.geoderma.2020.114237", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2020.114237"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-05-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.03.036", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2019-03-30", "title": "Soil organic carbon changes following wetland cultivation: A global meta-analysis", "description": "Abstract Wetland cultivation has a profound effect on soil organic carbon (SOC) and global soil carbon cycles. However, the global patterns of the changes in SOC following wetland cultivation are still not well understood, especially with respect to the conditions under which SOC can increase in cultivated wetlands. We synthesized the results from 64 study sites and carried out a meta-analysis to quantify the changes in SOC following wetland cultivation and identify the underlying mechanisms. Although wetland cultivation led to a reduction in SOC under most conditions, wetland cultivation may result in an increase (p", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.03.036"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.03.036", "name": "item", "description": "10.1016/j.geoderma.2019.03.036", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.03.036"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-08-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114061", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2019-11-28", "title": "High-resolution and three-dimensional mapping of soil texture of China", "description": "The lack of detailed three-dimensional soil texture information largely restricts many applications in agriculture, hydrology, climate, ecology and environment. This study predicted 90 m resolution spatial variations of sand, silt and clay contents at a national extent across China and at multiple depths 0\u20135, 5\u201315, 15\u201330, 30\u201360, 60\u2013100 and 100\u2013200 cm. We used 4579 soil profiles collected from a national soil series inventory conducted recently and currently available environmental covariates. The covariates characterized environmental factors including climate, parent materials, terrain, vegetation and soil conditions. We constructed random forest models and employed a parallel computing strategy for the predictions of soil texture fractions based on its relationship with the environmental factors. Quantile regression forest was used to estimate the uncertainty of the predictions. Results showed that the predicted maps were much more accurate and detailed than the conventional linkage maps and the SoilGrids250m product, and could well represent spatial variation of soil texture across China. The relative accuracy improvement was around 245\u2013370% relative to the linkage maps and 83\u2013112% relative to the SoilGrids250m product with regard to the R2, and it was around 24\u201326% and 14\u201319% respectively with regard to the RMSE. The wide range between 5% lower and 95% upper prediction limits may suggest that there was a substantial room to improve current predictions. Besides, we found that climate and terrain factors are major controllers for spatial patterns of soil texture in China. The heat and water-driven physical and chemical weathering and wind-driven erosion processes primarily shape the pattern of clay content. The terrain, wind and water-driven deposition, erosion and transportation sorting processes of soil particles primarily shape the pattern of silt. The findings provide clues for modeling future soil evolution and for national soil security management under the background of global and regional environmental changes.", "keywords": ["2. Zero hunger", "Digital soil mapping", "13. Climate action", "Large extent", "Machine learning", "Environmental factors", "Uncertainty", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.114061"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.114061", "name": "item", "description": "10.1016/j.geoderma.2019.114061", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114061"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2019.114149", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2019-12-31", "title": "A meta-analysis of carbon, nitrogen and phosphorus change in response to conversion of grassland to agricultural land", "description": "Abstract The conversion of grassland to agricultural land is an important land use change that affects soil stocks and concentrations of C, N and P, as well as their stoichiometric ratios. However, the response mechanism of soil C, N and P change to grassland conversion remains unclear. Here, we conducted a meta-analysis of 92 studies and showed that the C and N stocks mainly depended on soil depth, conversion duration and precipitation, while the P response was insensitive to these factors. Moreover, C, N and P losses were also correlated with soil physical\u2013chemical properties (pH, sand, silt, clay). Changes in the response ratios of C:N, C:P and N:P indicated that soil C and N were more sensitive than P to grassland conversion. These results suggest that land use management policies should protect natural grasslands, especially in the arid and semi-arid regions, to minimize soil C, N and P loss.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Qiuwen Zhan, Junli Du, Ren Lantian, Shucheng Li, Hao Bing, Shiming Tang, Chen Lei, Junhu Xu, Gao Qinghai, Shao Qingqin,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2019.114149"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2019.114149", "name": "item", "description": "10.1016/j.geoderma.2019.114149", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2019.114149"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-04-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2021.115656", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2021-12-15", "title": "A framework for determining the total salt content of soil profiles using time-series Sentinel-2 images and a random forest-temporal convolution network", "description": "Soil salinization causes a deterioration in soil health and threatens crop growth. Rapid identification of salinization in farmlands is of great significance to improve soil functions and to maintain sustainable land management. As salt moves in soil profiles during plowing and irrigation, the commonly used protocol for measuring and monitoring salt content in topsoil does not provide a thorough assessment. In order to quantify and comprehensively evaluate the salt content in deep soil, this study developed a novel framework for monitoring total salt content in the soil profile to a depth of 1 m by combining information from time-series satellite images and machine learning. The field experiments were conducted in Alar, Southern Xinjiang, with a total of 120 soil samples and 582 measurements of EM38-MK2 apparent electrical conductivity in 2019 and 2020 to quantify the vertical variation in the salt content. A total of 42 covariates derived from time-series Sentinel-2 images, including 20 salinity indices, 10 soil indices, and 12 vegetation indices were used for modeling salinity in the soil profile. From the total covariates, 22 were selected using the Random Forest. Soil salinity which was modeled using a Temporal Convolution Network in 2019 and 2020 and forecast for 2021. The model effectively revealed the spatial and temporal variability of the salt content in the soil profile with R2 of 0.71 and 0.65 for 2019 and 2020, respectively. The proposed new framework provides an effective method to estimate the salt content in the soil profile for precision agriculture in arid and semi-arid regions.", "keywords": ["2. Zero hunger", "Soil salinity", "Random Forest", "13. Climate action", "Time-series images", "Soil profile", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "Temporal Convolution Network"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2021.115656"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2021.115656", "name": "item", "description": "10.1016/j.geoderma.2021.115656", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2021.115656"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2022.115935", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:04Z", "type": "Journal Article", "created": "2022-05-20", "title": "Improving remote sensing of salinity on topsoil with crop residues using novel indices of optical and microwave bands", "description": "Remote sensing indices have been proposed to characterize soil salinity. However, the sensitivity of these indicators is unstable owing to differences in geographic environment and vegetation type. This study investigated the performance of several existing indices to estimate the salinity of topsoil with residues in southern Xinjiang, China. The results showed that these indices were not satisfactory. In order to construct an index that can be used to directly indicate soil salinity in a specific area, novel salinity indices were calculated using optical bands (blue, green, red, vegetation red edge, and shortwave infrared bands) derived from Sentinel-2 multispectral data and Sentinel-1 radar data (backscattering coefficient VV, VH). To enhance the sensitivity of the optical bands, five transformation methods (logarithmic, reciprocal, first-, second-, and third-derivative) were applied to the original spectra. Based on previous studies, statistical methods were used to construct two-, three-, and four-bands indices. One constructed three-bands index with the second-derivative transformation, called the Enhanced Residues Soil Salinity Index (ERSSI), showed the highest correlation with topsoil salinity (r = 0.65 and 0.68 in training and testing). ERSSI establishes a linear relationship in soil salinity estimation with an R2 of 0.53 and a LCCC of 0.65 in training dataset, with an R2 of 0.51 and a LCCC of 0.73 in testing dataset. And it shows contribution in random forest regression with an R2 of 0.80 and a LCCC of 0.86 in training dataset, with an R2 of 0.77 and a LCCC of 0.81 in testing dataset. The ERSSI consisted of the B, G, and SWIR1 bands, and was sensitive to salinity variations in the residues remaining in farmland soils. This study provides a novel index and method for the accurate and robust assessment and mapping of salinity in farmland covered by crop residues.", "keywords": ["2. Zero hunger", "Soil salinity", "Residues remained soil", "Indices constructions", "Spectral response", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Sentinel-2", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.115935"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2022.115935", "name": "item", "description": "10.1016/j.geoderma.2022.115935", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.115935"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2022.116102", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2022-08-19", "title": "Data mining of urban soil spectral library for estimating organic carbon", "description": "Accurate quantification of urban soil organic carbon (SOC) is essential for understanding anthropogenic changes and further guiding effective city managements. Visible and near infrared (vis\u2013NIR) spectroscopy can monitor the SOC content in a time- and cost-effective manner. However, processes and mechanisms dominating the relationships between SOC and spectral data in urban soils remain unknown. The main objective of this paper was to evaluate whether multiple stratification strategies (i.e., based on land-use/land-cover [LULC], pH, and spectral clustering) resulted in better predicted performance for SOC compared to the non-stratified (global) models. Results showed that regarding the non-stratified models, the convolutional neural network (CNN) model exhibited the best performance (validation R2 = 0.73), followed by Cubist (validation R2 = 0.66) and memorybased learning (validation R2 = 0.65). After LULC stratification, Cubist model achieved the best prediction (validation R2 = 0.76), improving the value of ratio of performance to interquartile distance by 0.11 compared to the global CNN model. Areas with high SOC values were mainly located in the city center. Stratification by LULC class is a promising strategy for addressing the impact of the soil-landscape diversity and complexity on vis\u2013NIR spectral estimation of SOC in urban soil spectral library.", "keywords": ["Urban soil", "Stratified modeling", "13. Climate action", "Soil organic carbon", "11. Sustainability", "0401 agriculture", " forestry", " and fisheries", "Deep learning", "04 agricultural and veterinary sciences", "15. Life on land", "Soil spectral library"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2022.116102"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2022.116102", "name": "item", "description": "10.1016/j.geoderma.2022.116102", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2022.116102"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-11-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.116825", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2024-02-24", "title": "Organic carbon stabilization in temperate paddy fields and adjacent semi-natural forests along a soil age gradient", "description": "Rice paddy soils have high organic carbon (OC) storage potential, but predicting OC stocks in these soils is difficult due to the complex OC stabilization mechanisms under fluctuating redox conditions. Especially in temperate climates, these mechanisms remain understudied and comparisons to OC stocks under natural vegetation are scarce. Semi-natural forests could have similar or higher OC inputs than rice paddies, but in the latter mineralization under anoxic conditions and interactions between OC and redox-sensitive minerals (in particular Fe oxyhydroxides, hereafter referred to as Fe oxides) could promote OC stabilization. Moreover, management-induced soil redox cycling in rice paddies can interact with pre-existing pedogenetic differences of soils having different degrees of evolution. To disentangle these drivers of soil OC stocks, we focused on a soil age gradient in Northern Italy with a long (30\u00a0+\u00a0years) history of rice cultivation and remnant semi-natural forests. Irrespective of soil age, soils under semi-natural forest and paddy land-use showed comparable OC stocks. While, in topsoil, stocks of crystalline Fe and short-ranged Fe and Al oxides did not differ between land-uses, under paddy management more OC was found in the mineral-associated fraction. This hints to a stronger redox-driven OC stabilization in the paddy topsoil compared to semi-natural forest soils that might compensate for the presumed lower OC inputs under rice cropping. Despite the higher clay contents over the whole profile and more crystalline pedogenetic Fe stocks in the topsoil in older soils, OC stocks were higher in the younger soils, in particular in the 50\u201370\u00a0cm layer, where short-range ordered pedogenetic oxides were also more abundant. These patterns might be explained by differences in hydrological flows responsible for the translocation of Fe and dissolved OC to the subsoil, preferentially in the younger, coarse-textured soils. Taken together, these results indicate the importance of the complex interplay between redox-cycling affected by paddy-management and soil-age related hydrological properties.", "keywords": ["2. Zero hunger", "Science", "Q", "Soil Science", "Soil carbon storage", "04 agricultural and veterinary sciences", "15. Life on land", "Markvetenskap", "01 natural sciences", "Particulate organic carbon", "Fe oxyhydroxides", "0401 agriculture", " forestry", " and fisheries", "Rice paddy soil", "Mineral associated organic carbon", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unito.it/bitstream/2318/1963515/1/Geoderma_443_116825.pdf"}, {"href": "https://doi.org/10.1016/j.geoderma.2024.116825"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2024.116825", "name": "item", "description": "10.1016/j.geoderma.2024.116825", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.116825"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2024.117027", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2024-09-14", "title": "Comparing LUCAS Soil and national systems: Towards a harmonized European Soil monitoring network", "description": "Open AccessPeer reviewed", "keywords": ["Europe", "Science", "Soil health", "Q", "Soil monitoring", "Soil monitoring ; Soil health ; Policies ; Europe ; LUCAS Soil", "[SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "Policies", "630", "LUCAS Soil"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2024.117027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2024.117027", "name": "item", "description": "10.1016/j.geoderma.2024.117027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2024.117027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2022.e00560", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:05Z", "type": "Journal Article", "created": "2022-07-07", "title": "Estimating organic carbon stocks of mineral soils in Denmark: Impact of bulk density and content of rock fragments", "description": "Management measures to reduce atmospheric carbon dioxide concentrations by increasing soil organic carbon (SOC) storage need verification, e.g., by periodic sampling of soils to estimate resulting changes in SOC stock. Estimates of SOC stocks are affected by content of rock fragments (systematic bias) and soil bulk density (random but significant effect), both of which may vary significantly between soils. We investigated the importance of using site-specific bulk density and correcting for rock fragment content on estimates of SOC stock in 0\u201350 cm depth of agricultural minerals soils, collected in 2019 in the Danish National Square Grid. We found that use of an average bulk density value for a given soil type category produced valid estimates of SOC stocks for regional/national inventories. However, large variations in bulk density were found within a given soil type category, which can result in over- or under-estimation at local sites. This calls for measurement of site-specific bulk density and rock fragment content to produce valid estimates of field-scale SOC stock, e.g., to be used in farm carbon credit schemes.
", "keywords": ["Rock fragment content", "Soil bulk density", "13. Climate action", "National soil carbon inventory", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "Agricultural mineral soil", "Soil organic carbon stock", "01 natural sciences", "Soil bulk density", " Rock fragment content", " Soil organic carbon stock", " National soil carbon inventory", " Agricultural mineral soil", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2022.e00560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2022.e00560", "name": "item", "description": "10.1016/j.geodrs.2022.e00560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2022.e00560"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2022-09-01T00:00:00Z"}}, {"id": "10.1016/j.geodrs.2023.e00716", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2023-09-27", "title": "Stakeholders' point of view on access to soil knowledge in France. What are the opportunities for further improvement?", "description": "Life on earth depends on soil health. However, soils are threatened across the world. To respond to the challenges posed by climate change and soil degradation, there is a need to better integrate scientific soil knowledge into the practice. The aim of this paper is to better understand the access to soil knowledge in France and identify opportunities for further improvement, with a particular focus on the difference of point of view between six categories of stakeholders. This study is based on 1951 responses from a participatory stakeholders\u2019 consultation we conducted in France. Our results showed that most stakeholders considered the knowledge they have access to as not adapted to their needs. They also expressed that knowledge sharing between stakeholders was not sufficient. To improve access to soil knowledge, stakeholders suggested adapting at the territorial level the content of soil knowledge shared and transferred, as well as improving ways of sharing and transfer soil knowledge. Additionally, stakeholders valued different exchange networks based on their type of knowledge. Stakeholders with more theoretical soil knowledge (public authorities, NGOs, researchers) stated being more interested in networks between policy, science and society. However, networks with farmers and advisors were more favored by stakeholders with empirical soil knowledge. Considering our findings, in order to strengthen knowledge transfer and sharing, we encourage the promotion of the profession of scientific mediator, as well as the implementation of Living Labs and Lighthouse farms to bring together various stakeholders at a local level towards innovation, training and education. This will ensure a transition towards a more sustainable soil management in Europe.", "keywords": ["multi-actor consultation", "partage des connaissances", "[SDE] Environmental Sciences", "vision des acteurs", "Knowledge sharing", "consultation multi-acteurs", "visi\u00f3n de los actores", "Exchange networks", "consulta multiactor", "Knowledge transfer", "stakeholder perspective.", "333", "12. Responsible consumption", "intercambio de conocimientos", "transfert de connaissances", "sant\u00e9 des sols", "EJPSOIL", "Soil health", "11. Sustainability", "[SDV.SA.SDS] Life Sciences [q-bio]/Agricultural sciences/Soil study", "transferencia de conocimientos", "2. Zero hunger", "salud de los suelos", "soil health", "9. Industry and infrastructure", "4. Education", "15. Life on land", "knowledge transfer", "16. Peace & justice", "exchange networks", "r\u00e9seaux d'\u00e9changes", "Multi-actor consultation", "6. Clean water", "13. Climate action", "[SDE]Environmental Sciences", "8. Economic growth", "redes de intercambio", "Stakeholder perspective", "knowledge sharing"], "contacts": [{"organization": "Mason, Elo\u00efse, Cornu, Sophie, Chenu, Claire,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.geodrs.2023.e00716"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma%20Regional", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geodrs.2023.e00716", "name": "item", "description": "10.1016/j.geodrs.2023.e00716", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geodrs.2023.e00716"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-12-01T00:00:00Z"}}, {"id": "10.1016/j.indcrop.2008.08.002", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:08Z", "type": "Journal Article", "created": "2008-10-15", "title": "Impact Of Fertilization On Drought Response In The Medicinal Herb Bupleurum Chinense Dc.: Growth And Saikosaponin Production", "description": "Bupleurum chinense DC. is a plant with high medicinal value. Its roots have been used in Chinese medicine for at least 2000 years. Environmental stress has been used as a strategy to optimize yield of important compounds in other crops. The objective of this pot study was to investigate the combined effects of fertilizer and. water-stress on total saikosaponin a (SSa) and saikosaponin d (SSd) yield from B. chinense. The 2 x 3 factoral design included two levels of water-stress and three fertilizer amounts. The results showed that mild water-stress significantly increased the SSa and SSd content in B. chinense roots, but decreased root biomass. Total SSa and SSd yield were lower in the water-stressed treatment compared to the well-watered treatment. There was significant interaction between the water and fertilizer treatments and the negative effect of water-stress on total SSa and SSd yield could be partly mitigated through the application of N and P fertilizer. In conclusion, results from this study show that the application of proper amounts of fertilizer are important for medicinal plant production in semi-arid and and regions, and that it is possible to increase total SSa and SSd yield through the combined use of fertilizer and properly timed exposure to water-stress. (C) 2008 Elsevier B.V. All rights reserved.", "keywords": ["0106 biological sciences", "0301 basic medicine", "2. Zero hunger", "03 medical and health sciences", "15. Life on land", "01 natural sciences", "6. Clean water", "3. Good health"]}, "links": [{"href": "https://doi.org/10.1016/j.indcrop.2008.08.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Industrial%20Crops%20and%20Products", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.indcrop.2008.08.002", "name": "item", "description": "10.1016/j.indcrop.2008.08.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.indcrop.2008.08.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2009-03-01T00:00:00Z"}}, {"id": "10.1016/j.geoforum.2004.02.002", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2004-04-21", "title": "Building Sustainable Livelihoods In Laos: Untangling Farm From Non-Farm, Progress From Distress", "description": "Abstract Laos is one of the poorest countries in the world. The majority of households continue to rely on farming to meet their needs. However the country is also going through an important transition as the market extends into formerly remote rural areas. Drawing on surveys of nine villages in three districts, the paper elucidates how households are managing the transition from subsistence to market. Agriculturally resilient communities with considerable potential are contrasted with villages where the scope for increases in farm output are sharply constrained. The growing role of non-farm activities is highlighted and a distinction drawn between `distress' and `progressive' diversification. The paper argues that diversification is propelled by very different forces and has markedly different implications in livelihood terms. It is also suggested that while general statements can be made about livelihood transitions in the country, and the production and reproduction of poverty, at a household level it is often not possible to `read-off' likely livelihood conditions from a mere assessment of resources.", "keywords": ["2. Zero hunger", "8. Economic growth", "11. Sustainability", "0211 other engineering and technologies", "1. No poverty", "02 engineering and technology", "15. Life on land", "12. Responsible consumption"]}, "links": [{"href": "https://doi.org/10.1016/j.geoforum.2004.02.002"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoforum", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoforum.2004.02.002", "name": "item", "description": "10.1016/j.geoforum.2004.02.002", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoforum.2004.02.002"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2004-09-01T00:00:00Z"}}, {"id": "10.1016/j.geomorph.2005.05.013", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2005-08-26", "title": "River Channel Response To Short-Term Human-Induced Change In Landscape Connectivity In Andean Ecosystems", "description": "The drainage basin of the Deleg River (88 km(2)), located in the southern Ecuadorian Andes, was studied to assess the geomorphic and hydrologic response of a fluvial system to human-induced environmental change in its contributing area. Historical data on land use, channel morphology and sedimentology were collected, based on a spatial analysis of aerial photographs (1963-1995) and a field survey (2002). Analysis of channel cross-sectional profiles and sedimentological data revealed a major change in morphology and sedimentology of the Deleg River during the past four decades: (i) the active river channel narrowed by over 45%, (ii) the riverbed incised on average by over 1.0 m and (iii) the median grain size of the bed surface decreased from 13.2 cm to 4.7 cm. The spatial pattern of land cover within the Deleg catchment also changed considerably: highly degraded agricultural land in the low-lying areas was abandoned and partially afforested for timber and wood production, whereas secondary upland forest was increasingly cleared for expansion of cropland and pastures. Notwithstanding large changes in the spatial organization of land use within the catchment, the overall land use did not change significantly during the past four decades. This suggests that the response of the Deleg River to land-use change not only depends on the overall land-use change, but also on the spatial pattern of land-use/cover change within the catchment. Although forestation and regeneration of bare gully slopes and floors throughout the catchment only represented a minor part of the total land-use change, these land-use/cover changes had a major impact on the hydrological and sediment connectivity in the landscape. (c) 2005 Elsevier B.V. All rights reserved.", "keywords": ["13. Climate action", "0207 environmental engineering", "02 engineering and technology", "15. Life on land", "01 natural sciences", "6. Clean water", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geomorph.2005.05.013"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geomorphology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geomorph.2005.05.013", "name": "item", "description": "10.1016/j.geomorph.2005.05.013", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geomorph.2005.05.013"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2005-12-01T00:00:00Z"}}, {"id": "10.1016/j.indcrop.2016.03.027", "type": "Feature", "geometry": null, "properties": {"license": "Closed Access", "updated": "2026-04-03T16:17:08Z", "type": "Journal Article", "created": "2016-03-19", "title": "Nutrient Management Systems In Turmeric: Effects On Soil Quality, Rhizome Yield And Quality", "description": "Abstract Turmeric (Curcuma longa L.) is grown in several countries and is commonly used as medicine, condiment, dye and cosmetic. A systematic study on the effects of nutrient management systems on turmeric yield & quality (curcumin content, oleoresin content, and oil content), nutrient uptake and relevant soil quality parameters is lacking. Hence, field experiments were conducted for three years from 2010 to 13 involving three nutrient management regimes viz., organic nutrient management (ONM) involving application or organic manures (Farmyard manure\u00a0+\u00a0neem cake\u00a0+\u00a0vermicompost\u00a0+\u00a0ash\u00a0+\u00a0Azospirillum lipoferum\u00a0+\u00a0Pseudomonas fluorescens), conventional nutrient management (CNM) involving application of inorganic fertilizers (60\u201350\u2013120\u00a0kg\u00a0ha\u22121 NPK applied as diammonium phosphate and muriate of potash, respectively) and integrated nutrient management (INM) involving a combination of inorganic fertilizers (50% N\u00a0+\u00a0full dose of P and K, i.e. 30\u201350\u2013120\u00a0kg\u00a0ha\u22121 NPK) and organic manure (20.0\u00a0t\u00a0ha\u22121 FYM\u00a0+\u00a0Bacillus megaterium var. Phosphaticum). The mean data across the three years revealed that soil pH was greatest in the ONM treatment (5.80), mineral N level in the INM treatment (197.0\u00a0\u00b1\u00a0109.0\u00a0mg\u00a0kg\u22121) and exchangeable K level in both INM and CNM treatments (213.0\u00a0\u00b1\u00a081.0 and 209.0\u00a0\u00b1\u00a082.0\u00a0mg\u00a0kg\u22121, respectively). Similarly, exchangeable Ca level was significantly higher in the ONM treatment (749\u00a0\u00b1\u00a0122\u00a0mg\u00a0kg\u22121) followed by the INM treatment (552\u00a0\u00b1\u00a0128\u00a0mg\u00a0kg\u22121), while the CNM treatment registered a 53.0\u201365.0% lower exchangeable Ca level. Conversely, large accumulation of Bray P was evident (80.0\u00a0\u00b1\u00a057.5\u00a0mg\u00a0kg\u22121) in the CNM treatment and the mean level was greater by 36.9% compared to INM treatment and by 236.0% compared to ONM treatment. Application of organic manures enhanced soil organic C (SOC) levels and the greatest level was observed in the ONM treatment (mean 17.4\u00a0\u00b1\u00a00.24\u00a0g\u00a0kg\u22121), followed by the INM treatment (mean 16.6\u00a0\u00b1\u00a00.18\u00a0g\u00a0kg\u22121) and lowest in the CNM treatment (mean 15.1\u00a0\u00b1\u00a00.17\u00a0g\u00a0kg\u22121). Lower SOC level in the CNM treatment resulted in decreased soil microbial biomass C (CMIC), acid phosphatase, \u03b2-glucosidase and dehydrogenase activities. The turmeric rhizome yield was consistently higher in the INM treatment (mean 22.5\u00a0\u00b1\u00a010.2 Mg ha\u22121) during the three years followed by CNM (mean 20.0\u00a0\u00b1\u00a010.4 Mg ha\u22121) and lastly by the ONM treatment (mean 17.8\u00a0\u00b1\u00a09.2 Mg ha\u22121). Similarly, most of the nutrient elements (N, P, K, Mg, Zn) registered significantly higher uptake in the INM treatment followed by CNM and then by ONM. However, the quality of turmeric measured in terms of oleoresin, curcumin, volatile oil and its constituents like \u03b1-phellandrene, pinene, AR Turmeron\u00a0+\u00a0\u03b2 Turmeron and \u03b1-Turmeron did not show any significant variations among the nutrient management systems. Principal component analysis indicated the degree of interdependence of various factors. Overall, the study indicated the distinct possibility of reducing chemical N fertilizer by 50% when applied in combination with organic manure for enhanced soil quality, rhizome yield and nutrient uptake in turmeric.", "keywords": ["2. Zero hunger", "0401 agriculture", " forestry", " and fisheries", "04 agricultural and veterinary sciences", "15. Life on land", "6. Clean water", "3. Good health"], "contacts": [{"organization": "O. Ansha, R. Dinesh, T.J. Zachariah, N.K. Leela, C K Thankamani, V. Srinivasan, O. Shajina, K. Kandiannan, S. Hamza,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1016/j.indcrop.2016.03.027"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Industrial%20Crops%20and%20Products", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.indcrop.2016.03.027", "name": "item", "description": "10.1016/j.indcrop.2016.03.027", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.indcrop.2016.03.027"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-07-01T00:00:00Z"}}, {"id": "10.1016/j.geomorph.2020.107579", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2021-01-20", "title": "Ending the Cinderella status of terraces and lynchets in Europe: The geomorphology of agricultural terraces and implications for ecosystem services and climate adaptation", "description": "Terraces and lynchets are ubiquitous worldwide and can provide increasingly important Ecosystem Services (ESs), which may be able to mitigate aspects of climate change. They are also a major cause of non-linearity between climate and erosion rates in agricultural systems as noted from alluvial and colluvial studies. New research in the \u2018critical zone\u2019 has shown that we must now treat soil production as an ecologically sensitive variable with implications for soil carbon sequestration. In this review and synthesis paper we present a modified classification of agricultural terraces, review the theoretical background of both terraces and lynchets, and show how new techniques are transforming the study of these widespread and often ancient anthropogenic landforms. The problems of dating terraces and the time-consuming nature of costly surveys has held back the geomorphological and geoarchaeological study of terraces until now. The suite of techniques now available, and reviewed here,includes Digital Elevation Models (DEMs) - Structure from Motion (SfM) photogrammetry, Airborne and Terrestrial Laser Scanning (ALS-TLS); optically stimulated luminescence (OSL and pOSL), portable x-ray fluorescence (pXRF), Fourier-transform infra-red analysis (FTIR), phytoliths from plants, and potentially environmental DNA. Three process-related geomorphological questions arise from using this suite of methods; a) can they provide both a chronology of formation and use history, b) can we identify the sources of all the soil components? c) can terrace soil formation and ecosystem services be modelled at the slope to catchment scale? The answers to these questions can also inform the management of the large areas of abandoned and under-used terraces that are resulting from both the economics of farming and rural population changes. Where possible, examples are drawn from a recently started ERC project (TerrACE; ERC-2018-2023; https://www.terrace.no/) that is working at over 15 sites in Europe ranging from Norway to Greece.", "keywords": ["Agricultural soils; Erosion; Geomorphic history; Soil formation", "2. Zero hunger", "VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Geografiske informasjonssystemer: 555", "VDP::Mathematics and natural science: 400::Geosciences: 450", "550", "VDP::Technology: 500::Information and communication technology: 550::Geographical information systems: 555", "04 agricultural and veterinary sciences", "15. Life on land", "01 natural sciences", "Geomorphic history", "13. Climate action", "Erosion;", "VDP::Matematikk og Naturvitenskap: 400::Geofag: 450", "Soil formation;", "0401 agriculture", " forestry", " and fisheries", "Agricultural soils;", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://eprints.whiterose.ac.uk/170714/1/1_s2.0_S0169555X20305523_main.pdf"}, {"href": "https://www.research.unipd.it/bitstream/11577/3390095/1/Brown%20et%20al.%20%282021%29.pdf"}, {"href": "https://eprints.soton.ac.uk/454976/1/1_s2.0_S0169555X20305523_main_1_.pdf"}, {"href": "https://eprints.soton.ac.uk/454976/2/Brown_A.G._et_al._2021_Ending_the_Cinderella_status_of_terraces_and_lynchets_in_Europe._The_geomorphology_of_agricultural_terraces_and_implications_for_ecosystem_services_and_climatic_adaptation.pdf"}, {"href": "https://doi.org/10.1016/j.geomorph.2020.107579"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geomorphology", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geomorph.2020.107579", "name": "item", "description": "10.1016/j.geomorph.2020.107579", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geomorph.2020.107579"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2021-04-01T00:00:00Z"}}, {"id": "10.1016/j.gsf.2023.101566", "type": "Feature", "geometry": null, "properties": {"license": "Open Access", "updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2023-02-06", "title": "Cryosphere as a temporal sink and source of microplastics in the Arctic region", "description": "Microplastics (MPs) pollution has become a serious environmental issue of growing global concern due to the increasing plastic production and usage. Under climate warming, the cryosphere, defined as the part of Earth's layer characterized by the low temperatures and the presence of frozen water, has been experiencing significant changes. The Arctic cryosphere (e.g., sea ice, snow cover, Greenland ice sheet, permafrost) can store and release pollutants into environments, making Arctic an important temporal sink and source of MPs. Here, we summarized the distributions of MPs in Arctic snow, sea ice, seawater, rivers, and sediments, to illustrate their potential sources, transport pathways, storage and release, and possible effects in this sentinel region. Items concentrations of MPs in snow and ice varied about 1\u20136 orders of magnitude in different regions, which were mostly attributed to the different sampling and measurement methods, and potential sources of MPs. MPs concentrations from Arctic seawater, river/lake water, and sediments also fluctuated largely, ranging from several items of per unit to >40,000 items m\u22123, 100 items m\u22123, and 10,000 items kg\u22121 dw, respectively. Arctic land snow cover can be a temporal storage of MPs, with MPs deposition flux of about (4.9\u201314.26) \u00d7 108 items km\u22122 yr\u22121. MPs transported by rivers to Arctic ocean was estimated to be approximately 8\u201348 ton/yr, with discharge flux of MPs at about (1.65\u20139.35) \u00d7 108 items/s. Average storage of MPs in sea ice was estimated to be about 6.1\u00d71018 items, with annual release of about 5.1\u00d71018 items. Atmospheric transport of MPs from long-distance terrestrial sources contributed significantly to MPs deposition in Arctic land snow cover, sea ice and oceanic surface waters. Arctic Great Rivers can flow MPs into the Arctic Ocean. Sea ice can temporally store, transport and then release MPs in the surrounded environment. Ocean currents from the Atlantic brought high concentrations of MPs into the Arctic. However, there existed large uncertainties of ...", "keywords": ["550", "13. Climate action", "Environmental engineering", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://strathprints.strath.ac.uk/85248/1/Zhang_etal_GF_2023_Cryosphere_as_a_temporal_sink_and_source_of_microplastics.pdf"}, {"href": "https://doi.org/10.1016/j.gsf.2023.101566"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoscience%20Frontiers", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.gsf.2023.101566", "name": "item", "description": "10.1016/j.gsf.2023.101566", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.gsf.2023.101566"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-07-01T00:00:00Z"}}, {"id": "10.1016/j.heliyon.2023.e16692", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:06Z", "type": "Journal Article", "created": "2023-05-27", "title": "Past, present and future trends in the remediation of heavy-metal contaminated soil - Remediation techniques applied in real soil-contamination events", "description": "Most worldwide policy frameworks, including the United Nations Sustainable Development Goals, highlight soil as a key non-renewable natural resource which should be rigorously preserved to achieve long-term global sustainability. Although some soil is naturally enriched with heavy metals (HMs), a series of anthropogenic activities are known to contribute to their redistribution, which may entail potentially harmful environmental and/or human health effects if certain concentrations are exceeded. If this occurs, the implementation of rehabilitation strategies is highly recommended. Although there are many publications dealing with the elimination of HMs using different methodologies, most of those works have been done in laboratories and there are not many comprehensive reviews about the results obtained under field conditions. Throughout this review, we examine the different methodologies that have been used in real scenarios and, based on representative case studies, we present the evolution and outcomes of the remediation strategies applied in real soil-contamination events where legacies of past metal mining activities or mine spills have posed a serious threat for soil conservation. So far, the best efficiencies at field-scale have been reported when using combined strategies such as physical containment and assisted-phytoremediation. We have also introduced the emerging problem of the heavy metal contamination of agricultural soils and the different strategies implemented to tackle this problem. Although remediation techniques used in real scenarios have not changed much in the last decades, there are also encouraging facts for the advances in this field. Thus, a growing number of mining companies publicise in their webpages their soil remediation strategies and efforts; moreover, the number of scientific publications about innovative highly-efficient and environmental-friendly methods is also increasing. In any case, better cooperation between scientists and other soil-related stakeholders is still required to improve remediation performance.", "keywords": ["2. Zero hunger", "H1-99", "(Bio)mining", "Science (General)", "Spills", "Remediation", "Review Article", "15. Life on land", "6. Clean water", "(bio)mining", "12. Responsible consumption", "3. Good health", "Social sciences (General)", "Q1-390", "Soil", "Sustainability", "13. Climate action", "11. Sustainability", "Heavy-metal"]}, "links": [{"href": "https://doi.org/10.1016/j.heliyon.2023.e16692"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Heliyon", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.heliyon.2023.e16692", "name": "item", "description": "10.1016/j.heliyon.2023.e16692", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.heliyon.2023.e16692"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-06-01T00:00:00Z"}}, {"id": "10.1016/j.iswcr.2023.12.001", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-03T16:17:08Z", "type": "Journal Article", "created": "2023-12-20", "title": "Appraising trapping efficiency of vegetative barriers in agricultural landscapes: Strategy based on a probabilistic approach based on a review of available information", "description": "Vegetative barriers have proven their effectiveness in controlling water erosion and enhancing other ecosystem services in agricultural areas. This characteristic has led to the conservation and promotion of vegetative barriers as landscape elements by the Common Agricultural Policy and other policy initiatives. Numerous reviews have dealt with the trapping efficiency of vegetated barriers, although they usually focus on studies from humid climates where their implantation and survival are more favourable. However, vegetated barriers are also an attractive alternative in arid and semi-arid climates. They limit competition for water and nutrients with crops to a reduced area compared to other best management practices, such as cover crops. This study presents a review of trapping efficiency of sediment, runoff, and nutrients (P and N) by vegetative barriers in regions of humid and arid, and semi-arid, climates, and a strategy based on sediment trapping efficiency probability, which in turn is based on the results obtained from our review. Different types of independent variables were grouped and identified for the review: related to the vegetative barrier dimension (buffer width, slope of the plot, and buffer area ratio), and related to the experimental conditions (type of vegetation in the buffer, soil protection of the non-buffered area, type of climate, type of experimental measurement and origin of rainfall). An exploratory analysis evaluated the significance of the experimental variables, which identified the need to focus on experiments under natural rainfall since those carried out with simulated rainfall presented statistically significant differences. In general, average trapping efficiencies for runoff and sediment were 40.1 and 62.6 %, respectively. For nutrients, values of trapping efficiencies had an average of 44.9 % for phosphorus and 38.4 % for nitrogen. Runoff and sediment trapping efficiency in arid and semi-arid regions tended to be higher than in humid regions. Regarding dimensional variables, a positive trend was observed in the runoff and sediment trapping efficiency with the width of the vegetative barrier, with a large variability across all the width range. Finally, based on the results of our review, we developed a probabilistic model for sediment trapping efficiency as a normalised cumulative probability distribution function for the two climatic regions separately. Also, we developed it as a function of the width of the vegetative barrier for each climatic region, to facilitate decision-making. This model shows that in 92 % of the cases, a vegetative barrier will reduce erosion in humid climates, while this trapping efficiency will be 100 % in semi-arid and arid conditions. This analysis showed that vegetative barriers are an alternative to other best management practices, e.g. cover crops, when there are operational or agronomic impediments to their implementation, having a high success rate in reducing erosion in any agricultural area.", "keywords": ["2. Zero hunger", "Connectivity", "Runoff", "Experimental plots", "Nutrients", "04 agricultural and veterinary sciences", "Sediment transport", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Buffer strip", "13. Climate action", "0401 agriculture", " forestry", " and fisheries", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.iswcr.2023.12.001"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/International%20Soil%20and%20Water%20Conservation%20Research", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.iswcr.2023.12.001", "name": "item", "description": "10.1016/j.iswcr.2023.12.001", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.iswcr.2023.12.001"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2024-09-01T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Life&offset=3700&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Life&offset=3700&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "prev", "title": "items (prev)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Life&offset=3650", "hreflang": "en-US"}, {"rel": "next", "type": "application/geo+json", "title": "items (next)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Life&offset=3750", "hreflang": "en-US"}], "numberMatched": 13009, "numberReturned": 50, "distributedFeatures": [], "timeStamp": "2026-04-04T09:07:49.800477Z"}